Functional canonical analysis in the study of the relationship between consumption expenditure in the European households

2017 ◽  
Vol 62 (5) ◽  
pp. 19-37
Author(s):  
Karol Deręgowski ◽  
Mirosław Krzyśko ◽  
Łukasz Waszak ◽  
Waldemar Wołyński
Keyword(s):  
Time Series ◽  
Canonical Correlation ◽  
Alcoholic Beverages ◽  
Primary Data ◽  
Strongly Correlated ◽  
Consumption Expenditure ◽  
Consumer Expenditure ◽  
Canonical Variables ◽  
The Relationship ◽  
Canonical Correlation Coefficient

The article aims to examine the relations between expenditure on alcoholic beverages and tobacco and other consumer expenditure of households in 27 European countries within 2000—2010. The choice of countries and time series was determined by the availability and completeness of Eurostat data. The years were analysed collectively not separately, which is a novelty presented in this paper. Such an approach was possible due the transformation of primary data into multivariate functional ones, and then the construction of correlations and canonical variables for transformed data. The study shows that expenditure on alcoholic beverages and tobacco is strongly correlated with other consumption expenditure (the canonical correlation coefficient between the two first functional canonical variables is 0.99). The expenditure on alcoholic beverages and tobacco has almost the same contribution to the construction of the functional canonical U1 variable, while the expenditure on food and non-alcoholic beverages and expenditure on clothing and footwear has the largest impact on the development of the functional canonical V1 variable.

scholarly journals Identification of the Conditions for Organic Agriculture Development in Polish Districts—An Implementation of Canonical Analysis

Agriculture ◽  
2020 ◽  
Vol 10 (11) ◽  
pp. 514
Author(s):  
Joanna Smoluk-Sikorska ◽  
Mariusz Malinowski ◽  
Władysława Łuczka
Keyword(s):  
Organic Farming ◽  
Organic Agriculture ◽  
Canonical Correlation ◽  
Data Bank ◽  
Canonical Analysis ◽  
Primary Data ◽  
Local Data ◽  
Data Set ◽  
Canonical Variables ◽  
Agriculture Development

Organic farming in Poland has been developing dynamically since the accession to the EU. However, there are considerable differences in the level of organic farming development in particular regions. Therefore, it is vital to identify the primary factors and conditions for this development and their importance considering their spatial distribution. The presented paper aims to estimate the relationships between the level of organic agriculture development and selected conditions of financial and environmental character. The investigation is based on primary data for 2017 retrieved from the Local Data Bank of the Main Statistical Office and Agricultural and Food Quality Inspection database for all Poland districts. In order to achieve this objective, a multivariate statistical analysis method—the canonical correlation was applied. The analysis was preceded by constructing the composite indices of organic agriculture development and its conditions based on a Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method and correlation analysis between the indices developed by the authors. The performed canonical analysis showed two statistically significant canonical variables with relatively high values of the canonical correlation (0.74 and 0.59). It proves that the degree of explaining the variability of one set of variables through linear relationships (referring to the level of organic farming development), by the second input data set (describing the determinants of the development), by successive pairs of canonical variables is high. This means that the created model describes relatively well the considered data sets.

scholarly journals Hubungan Keanekaragaman dan Keberadaan Plankton Terhadap Faktor Fisika Kimia Sungai Batanghari

2018 ◽  
Vol 1 (2) ◽  
pp. 55
Author(s):  
Marhadi Marhadi ◽  
Ira Galih Prabasari ◽  
Ria Pratiwi
Keyword(s):  
Water Pollution ◽  
Lead Chloride ◽  
Primary Data ◽  
Physical Parameters ◽  
Strongly Correlated ◽  
Phosphate Nitrate ◽  
Pollutant Level ◽  
Physical And Chemical ◽  
The Relationship

Water pollution can not only be measured only by chemical and physical parameters, Plankton have properties that are always moving so that they can be used as indicators of water pollution. Plankton play an important role in influencing the primary productivity of river waters. The purpose of this study was to determine the relationship between the diversity and presence of plankton to the quality of the Batanghari River. The study was conducted in February 2018 in Jambi City. Primary data taken in the form of concentrations of physical and chemical parameters include turbidity, pH, TDS, BOD, COD, DO, Phosphate, Nitrate, Nitrite, Ammonia, Lead, Chloride, Sulfate and the amount of plankton abundance (ind / L) on the Batanghari River. The time of sampling was in the morning and evening on the same day.  The results showed that the relationship between the existence of plankton and the quality of the Batanghari River showed the condition of the Batanghari River in Jambi City was in phase a - Mesosaprobic (heavy pollutant level). Parameters of pH, COD, Phosphate, Nitrite, Lead and Chloride are moderately correlated to phytoplankton, while TDS, BOD, DO, Nitrate and Ammonia are weakly correlated with phytoplankton. And for temperature parameters it is strongly correlated with phytoplankton. For correlation to zooplankton, parameters of pH, TDS, BOD, COD, COD, DO, Phosphate, Nitrate, Nitrite, Lead, chloride are very weakly correlated while ammonia and turbidity correlate moderately to zooplankton.

Sugar Production, Consumption, and Consumer Expenditure Analysis

2014 ◽  
Vol 3 (3) ◽  
pp. 32-53
Author(s):  
Adrian Stancu
Keyword(s):  
Disposable Income ◽  
Alcoholic Beverages ◽  
Sugar Production ◽  
Consumer Expenditure ◽  
Sugar Consumption ◽  
Population Number ◽  
Income Levels ◽  
Number Dynamics ◽  
The Relationship ◽  
Expenditure Category

The paper examines, firstly, the connection among sugar production, sugar consumption and population number. Secondly, it highlights the relationship between sugar consumption and the weight of sugar and confectionery consumer expenditure in the food and non-alcoholic beverages consumer expenditure category as well as in disposable income. Two matrices of countries were proposed based on the sugar consumption and the weight of sugar and confectionery consumer expenditure in the food and non-alcoholic beverages consumer expenditure category and in disposable income levels. Thirdly, an analysis of sugar production, sugar consumption and population number dynamics of four most relevant countries was made, along with testing the correlation among sugar production, sugar consumption, and population number growth/decrease rates

scholarly journals Canonical correlation analysis for functional data

2013 ◽  
Vol 50 (2) ◽  
pp. 95-105 ◽  
Author(s):  
Mirosław Krzyśko ◽  
Łukasz Waszak
Keyword(s):  
Correlation Analysis ◽  
Correlation Coefficient ◽  
Canonical Correlation Analysis ◽  
Canonical Correlation ◽  
Data Sets ◽  
Linear Combinations ◽  
Canonical Correlations ◽  
Canonical Variables ◽  
Maximal Correlation ◽  
Canonical Correlation Coefficient

Summary Classical canonical correlation analysis seeks the associations between two data sets, i.e. it searches for linear combinations of the original variables having maximal correlation. Our task is to maximize this correlation, and is equivalent to solving a generalized eigenvalue problem. The maximal correlation coefficient (being a solution of this problem) is the first canonical correlation coefficient. In this paper we propose a new method of constructing canonical correlations and canonical variables for a pair of stochastic processes represented by a finite number of orthonormal basis functions.

scholarly journals A Study on Promotion of Alcoholic Beverages

2020 ◽  
Vol 16 (01) ◽  
pp. 12-17
Author(s):  
Pooja Narang ◽  
Ritesh Dwivedi
Keyword(s):  
Social Sciences ◽  
Alcoholic Beverages ◽  
Brand Awareness ◽  
Primary Data ◽  
Consumer Attitude ◽  
Research Model ◽  
The Social ◽  
Promotional Strategies ◽  
Customer Attitude ◽  
The Relationship

India is one of the leading countries in consuming and manufacturing alcoholic beverages in the last few years. Alcohol is one of the major players in contributing an important role in India’s economy. Individuals are aware of the fact that advertisement of tobacco, cigarettes, and alcohol is banned in our country, but the leverage has been granted of promoting the brand through surrogate marketing. There are many traditional methods that are still successful in the promotion of alcohol like hoardings and banner, but some modern ways are promotion through social media, ladies’ night, etc. This study aims to explore the various promotional practices performed by alcohol companies and analyze the customer attitude towards it. A questionnaire survey was used to collect the customers’ primary data by visiting various clubs and bars. The total number of questionnaires that were analyzed is 200 using statistical package for the social sciences (SPSS). The result of SPSS was reviewed based on the hypothesis formed and the relationship is determined between various variables. With the help of results, we connected it to a research model related to consumer attitude. This study concluded that promotional activities play an important role and mostly impact brand awareness. Despite surrogate marketing, the entire liquor brands can target their customer through some memorable promotional strategies and successfully understand the consumer’s attitude towards them.

scholarly journals US Consumer Confidence Responses to Shocks: COVID19 Scenarios and Recovery.Under review: REHO Special Issue

2020 ◽  
Author(s):  
Suzanna Elmassah ◽  
Eslam A.Hassanein
Keyword(s):  
Consumer Confidence ◽  
Consumption Expenditure ◽  
Consumer Expenditure ◽  
Us Economy ◽  
Personal Consumption ◽  
The Us ◽  
Leading Economic Indicators ◽  
The Usa ◽  
The Impact ◽  
The Relationship

Abstract Personal consumption expenditure has long been a key driver of the US economy, accounting for roughly two-thirds of GDP. Consumer confidence is a significant predictor of consumer expenditure especially in times of shocks. The US has experienced many shocks since 1978; the latest of which is the outbreak of coronavirus. COVID19 has spread from China to the whole world; the pandemic has had far-reaching consequences for global political, social, economic, and financial structures. Consumer confidence is one of the leading economic indicators that provides information on the current and future path of the economy, helps in stimulating economic activity, and predicts change in macroeconomic variables, especially during times of economic and political uncertainty. Our study investigates the relationship between consumption expenditure and consumer confidence in the USA. It analyzes the US consumer confidence response to 11 different shocks since 1978, focusing on COVID-19 shock. Our investigation uses Michigan's monthly Consumer Sentiment Index (CSI) and its five components from January 1978 to April 2020. The paper is unique in quantifying the potential variations in US consumer confidence due to COVID-19 under different scenarios; by providing a projection until August 2021. The goal is to estimate the time needed for recovery and provide guidance to policymakers on ways to restore consumer confidence to tame the impact of coronavirus on effective demand. Under the two more optimistic scenarios we predict that recovery will begin by January 2021. Under the third, less optimistic, scenario we predict that recovery will begin by April 2021.

Relationship between organisational commitment and burnout syndrome: a canonical correlation approach

2016 ◽  
Vol 40 (2) ◽  
pp. 181
Author(s):  
Ozgur Enginyurt ◽  
Soner Cankaya ◽  
Kadir Aksay ◽  
Taner Tunc ◽  
Bozkurt Koc ◽  
...  
Keyword(s):  
Emotional Exhaustion ◽  
Health Workforce ◽  
Canonical Correlation ◽  
Affective Commitment ◽  
Healthcare Professionals ◽  
Maslach Burnout Inventory ◽  
Burnout Syndrome ◽  
Organisational Commitment ◽  
Canonical Variables ◽  
The Relationship

Objective Burnout syndrome can significantly reduce the performance of health workers. Although many factors have been identified as antecedents of burnout, few studies have investigated the role of organisational commitment in its development. The purpose of the present study was to examine the relationships between subdimensions of burnout syndrome (emotional exhaustion, depersonalisation and personal accomplishment) and subdimensions of organisational commitment (affective commitment, continuance commitment and normative commitment). Methods The present study was a cross-sectional survey of physicians and other healthcare employees working in the Ministry of Health Ordu University Education and Research Hospital. The sample consisted of 486 healthcare workers. Data were collected using the Maslach Burnout Inventory and the Organisation Commitment Scale, and were analysed using the canonical correlation approach. Results The first of three canonical correlation coefficients between pairs of canonical variables (Ui , burnout syndrome and Vi, organisational commitment) was found to be statistically significant. Emotional exhaustion was found to contribute most towards the explanatory capacity of canonical variables estimated from the subdimensions of burnout syndrome, whereas affective commitment provided the largest contribution towards the explanatory capacity of canonical variables estimated from the subdimensions of organisational commitment. Conclusions The results of the present study indicate that affective commitment is the primary determinant of burnout syndrome in healthcare professionals. What is known about the topic? Organisational commitment and burnout syndrome are the most important criteria in predicting health workforce performance. An increasing number of studies in recent years have clearly indicated the field’s continued relevance and importance. Conversely, canonical correlation analysis (CCA) is a technique for describing the relationship between two variable sets simultaneously to produce both structural and spatial meaning. What does this paper add? To our knowledge, CCA has not been used to determine the relationships between burnout and organisational commitment of physicians and other healthcare staff. Accordingly, the present study adds information regarding the relationship between burnout and organisational commitment variables determined using CCA. This analysis is used to describe the relationship between two variable sets simultaneously and allows for an easy method of interpretation. What are the implications for practitioners? Burnout syndrome is a major threat to both the health workforce and its organisations. In addition, it affects the quality and effectiveness of health care. Thus, the findings of the present study offer a solid foundation from which actions to decrease burnout levels in healthcare professionals can be implemented by successfully increasing levels of organisational commitment.

scholarly journals Penerapan Analisis Korelasi Kanonik pada Kajian Enso dalam Identifikasi Hubungan Fitur Iklim

2014 ◽  
Vol 15 (1) ◽  
pp. 36
Author(s):  
Miftahuddin Miftahuddin ◽  
Ria Andriani ◽  
Ichsan Setiawan ◽  
Adi Mulsandi
Keyword(s):  
Strong Correlation ◽  
Canonical Correlation ◽  
Climate Changes ◽  
Global Climate ◽  
Local Wind ◽  
Local Climate ◽  
Canonical Variables ◽  
Result Show ◽  
Global Variable ◽  
The Relationship

There are several resulting arguments from the research done on climate variation in Indonesia stating that the observed affects are through various phenomena such as ENSO, monsoon, dipole mode event, and MJO. However, the magnitude of the effect varies for each region in Indonesia. This research aims to identify the relationship among the global climate features (GCFs) in the Nino3.4 (5°S–5°N, 120–170°W) with the local climate features (LCFs) in the Aceh regions which represented by: I(2–3°N, 95–98°E), II(3–4°N, 95–98°E), III(4–5°N, 95–98°E), and IV(5–6°N, 95–98°E) using canonical correlation analysis (CCA) in the ENSO phenomena. The analysis shows that global GCFs variations have strong correlation with LCFs variations with the correlation values, 0.893, 0.899, 0.900, and 0.901, respectively. The result show that when there is a global change in any feature of GCFs, the same change also appears in each feature of LCFs. The canonical loading shows that there are original variables which have strong correlation with the first canonical global variable (X1) with correlations 0.987, 0.969, 0.987, and 0.865,respectively, and the local wind (Y1) with correlations 0.974, 0.952, 0.979, and 0.845, respectively. All the other climate features have weak correlations with the first canonical variables. From the MANOVA, we can conclude that the climate features (wind, SST, SSTA, and SLP) affect climate changes in both study regions. Our results also reveal that LCFs are significantly affected in the Nino3.4 99.5% and in I, II, III, and IV for given correlations 99.8, 99.7, 99.6, and 99.5%, respectively.

Analysis of Maximum Expiratory Flow Volume Curves Using Canonical Correlation Analysis

1985 ◽  
Vol 24 (02) ◽  
pp. 91-100 ◽  
Author(s):  
W. van Pelt ◽  
Ph. H. Quanjer ◽  
M. E. Wise ◽  
E. van der Burg ◽  
R. van der Lende
Keyword(s):  
Correlation Analysis ◽  
Canonical Correlation Analysis ◽  
Canonical Correlation ◽  
Flow Volume ◽  
Non Linear ◽  
Maximum Expiratory Flow ◽  
Expiratory Flow ◽  
Relationship Of ◽  
The Relationship ◽  
Age And Sex

SummaryAs part of a population study on chronic lung disease in the Netherlands, an investigation is made of the relationship of both age and sex with indices describing the maximum expiratory flow-volume (MEFV) curve. To determine the relationship, non-linear canonical correlation was used as realized in the computer program CANALS, a combination of ordinary canonical correlation analysis (CCA) and non-linear transformations of the variables. This method enhances the generality of the relationship to be found and has the advantage of showing the relative importance of categories or ranges within a variable with respect to that relationship. The above is exemplified by describing the relationship of age and sex with variables concerning respiratory symptoms and smoking habits. The analysis of age and sex with MEFV curve indices shows that non-linear canonical correlation analysis is an efficient tool in analysing size and shape of the MEFV curve and can be used to derive parameters concerning the whole curve.

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